GAKE: Graph Aware Knowledge Embedding本文是论文GAKE: Graph Aware Knowledge Embedding的阅读笔记和个人理解. Basic Idea在现有的KGE方法中, 都是基于三元组
2021-04-18
GAKE: Graph Aware Knowledge Embedding
HAKE: Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for KGE
KBAT: Learning Attention-based Embeddings for Relation Prediction in KGs
CompGCN: Composition-based Multi-Relational Graph Convolutional Networks
KEQA: Knowledge Graph Embedding Based Question Answering
CoPER: Contextual Parameter Generation for Knowledge Graph Link Prediction
R-GCN: Modeling Relational Data with Graph Convolutional Networks
RotatE: Relational Rotation in Complex Vector Space
SACN: End-to-end Structure-Aware Convolutional Networks for KBC
ConvR: Adaptive Convolution for Multi-Relational Learning
LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding